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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/20851

Title: A goodness-of-fit test for the random-effects distribution in mixed models
Authors: Efendi, Achmad
Drikvandi, R.
Verbeke, Geert
Molenberghs, Geert
Issue Date: 2015
Citation: STATISTICAL METHODS IN MEDICAL RESEARCH, 26 (2), pag. 970-983
Abstract: In this paper, we develop a simple diagnostic test for the random-effects distribution in mixed models. The test is based on the gradient function, a graphical tool proposed by Verbeke and Molenberghs to check the impact of assumptions about the random-effects distribution in mixed models on inferences. Inference is conducted through the bootstrap. The proposed test is easy to implement and applicable in a general class of mixed models. The operating characteristics of the test are evaluated in a simulation study, and the method is further illustrated using two real data analyses.
Notes: Verbeke, G (reprint author), Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat, Leuven, Belgium. geert.verbeke@kuleuven.be
URI: http://hdl.handle.net/1942/20851
DOI: 10.1177/0962280214564721
ISI #: 000399704500026
ISSN: 0962-2802
Category: A1
Type: Journal Contribution
Validation: vabb, 2017
Appears in Collections: Research publications

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